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Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
- Narrated by: Russell Newton
- Length: 3 hrs and 3 mins
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Publisher's summary
Are you excited about artificial intelligence and want to get started?Are you excited about machine learning and want to learn how to implement in Python?
The book below is the answer.
Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners.
Python is a great language that is commonly used with machine learning. Python is used extensively in mathematics, gaming, and graphic design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.
Here's what's included in this audiobook:
- What is machine learning?
- Why use Python?
- Regression analysis using Python with an example
- Clustering analysis using Python with an example
- Implementing an Artificial Neural Network
- Backpropagation
- 90-day plan to learn and implement machine learning
- Conclusion
Buy this audiobook today!
What listeners say about Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- David
- 08-20-19
Great audio book for learning about data!
I bought this book wondering what more i can learn about Data Analysis, i had read the reviews before mine that said to have my computer ready and near me! Great idea! Loved this audio book and now my wife is listening to it. Great job!
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- Debbie Cooper
- 06-07-19
Great For Beginner Data Analysis
If you are trying to learn about data analysis in machine learning this is a great audio book to start you off. This book will break down exactly what machine learning is and then go on to teach you one of the easiest computer languages out there, which is python. This is a great starter book, I suggest that you have your computer up and running so that you can follow along as the narrator walks you through the steps. Also a great reference to have around for when you do get confused or stuck during your data analysis.
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- Olga
- 10-29-18
Have it now!
I really want to learn more about machine learning and this will be a perfect guide for me to know more. This is long but I guess it have it all.
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- Brianna Denise Krooberg
- 10-29-18
Keeping.
I am keeping this audio book for reference. The tools, concepts and technique are useful in my study of python. I will sharing this with my colleagues.
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- Arshi.af
- 10-24-18
GOOD
The last chapter deals with the technical part; I recommend to see more informative guide to grasp the concept. Lastly, if your level of English is good, you can increase the speed.
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Story
In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.
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Both How AND Why for Techies
- By Dan Collins on 08-11-17
By: Erik Brynjolfsson, and others
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Breakpoint
- Why the Web Will Implode, Search Will Be Obsolete, and Everything Else You Need to Know About Technology Is in Your Brain
- By: Jeff Stibel
- Narrated by: Robert David Grant
- Length: 7 hrs and 37 mins
- Unabridged
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We are living in a world in which cows send texts to farmers when they're in heat, where the most valuable real estate in New York City houses computers, not people, and some of humanity's greatest works are created by crowds, not individuals. We are in the midst of a networking revolution - set to transform the way we access the world's information and the way we connect with one another. Studying biological systems is perhaps the best way to understand such networks, and nature has a lesson for us if we care to listen: Bigger is rarely better in the long run.
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Meh
- By Customer on 12-07-14
By: Jeff Stibel